Publications

Eva Brombacher, Maren Hackenberg, Clemens Kreutz, Harald Binder, Martin Treppner (2022). The performance of deep generative models for learning joint embeddings of single-cell multi-omics data. Frontiers in Molecular Biosciences.

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Martin Treppner, Stefan Haug, Anna Köttgen, Harald Binder (2022). Designing Single Cell RNA-Sequencing Experiments for Learning Latent Representations. bioRxiv.

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Martin Treppner, Harald Binder, Moritz Hess (2022). Interpretable generative deep learning: an illustration with single cell gene expression data. Human Genetics.

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Martin Treppner, Adrián Salas-Bastos, Moritz Hess, Stefan Lenz, Tanja Vogel, Harald Binder (2021). Synthetic single cell RNA sequencing data from small pilot studies using deep generative models. Scientific Reports.

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